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The term "modular AI" has been bandied about frequently in recent years, but specific, usable implementation details are often sparse. This talk provides a comprehensive exploration of modular AI, from the theoretical underpinnings up to code examples from shipped titles. With practical descriptions of modular architectures and common components, the techniques described can be applied to a broad range of decision-making algorithms and game genres. Intermediate-to-advanced game developers will learn strategies on how to cleanly decouple their AI from the game engine so that, once implemented, modular components are ready for reuse across games to come.